YoVDO

Fokker-Planck Equations of Neuron Networks: Understanding Time Periodic Solutions

Offered By: Institut Henri Poincaré via YouTube

Tags

Fokker Planck Equation Courses Dynamical Systems Courses Computational Neuroscience Courses Partial Differential Equations Courses Stochastic Processes Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the intricacies of Fokker-Planck equations in neuron networks and their role in understanding time periodic solutions in this 25-minute lecture by Zhennan Zhou from Peking University. Delve into the mathematical foundations and applications of these equations in neuroscience, gaining insights into the complex dynamics of neural systems and their periodic behaviors.

Syllabus

Fokker-Planck equations of neuron networks towards understanding time periodic solutions


Taught by

Institut Henri Poincaré

Related Courses

Introduction to Dynamical Systems and Chaos
Santa Fe Institute via Complexity Explorer Nonlinear Dynamics 1: Geometry of Chaos
Georgia Institute of Technology via Independent Linear Differential Equations
Boston University via edX Algorithmic Information Dynamics: From Networks to Cells
Santa Fe Institute via Complexity Explorer Nonlinear Differential Equations: Order and Chaos
Boston University via edX